Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19E24C83460165A7A12174BD5F160BB6DE0C7E34EC632D888F7BD427A3BC6CD4E84E9A4 |
|
CONTENT
ssdeep
|
3072:jPhrw+JgJqOUaYTXTGjN/yOV/o/1/N6QZJgvLDVFRqyOjGu:jPhrwN8DQZL1Q7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ce60319b66ce9971 |
|
VISUAL
aHash
|
0008183c3c3c3c00 |
|
VISUAL
dHash
|
1d3233616179691f |
|
VISUAL
wHash
|
8099bdbdbd3d3c00 |
|
VISUAL
colorHash
|
0f2000100c0 |
|
VISUAL
cropResistant
|
d391c4e48c1c0cf1,f8a9b9911131bbc0,9b808c8c70cc8e51,01c0ba3a32b42b23,1d3233616179691f |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 471 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)